Social franchising: whatever happened to old-fashioned notions of evidence-based practice?
Bibliographic record
Abstract
Social franchising, which draws on principles of commercial franchising for achieving socially beneficial ends, is based on the premise that organising private sector health-care providers under a standardised, branded set of services will improve the quality and accessibility of services. The popularity of the idea can be gauged by its rapid growth worldwide: the number of social franchises have doubled every 4 years since 1994, and, by 2015, more than 90 such programmes existed in 40 low-income and middle-income countries. Major donors—USAID, UKAID, the Bill & Melinda Gates Foundation, and the Norwegian Agency for Development Cooperation (NORAD)—have invested millions of dollars in these franchises in low-income and middle-income countries.1Viswanathan R Behl R Seefeld CA Clinical Social Franchising Compendium: an annual survey of programs: findings from 2015. The Global Health Group, Global Health Sciences, University of California, San Francisco, San Francisco, CA2016Google Scholar The Article2Tougher S Dutt V Pereira S et al.Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental study.Lancet Glob Health. 2017; (published online Dec 20.)http://dx.doi.org/10.1016/S2214-109X(17)30454-0Summary Full Text Full Text PDF PubMed Scopus (17) Google Scholar by Sarah Tougher and colleagues in The Lancet Global Health, however, should give us reason to pause. These investigators show, with rigorous quasi-experimental methods, that the Matrika Social Franchise Model—a multifaceted intervention aimed at strengthening the private sector to improve coverage and quality of maternal, newborn, and reproductive health services in Uttar Pradesh, India—did not have any measurable effect on the outcomes under study. Facility births increased by an insignificant 4 percentage points (95% CI −1 to 9; p=0·100) and no measureable changes were documented in 14 summary indices of health-care use, content, quality, patient experiences, or financial strain. These findings should not be a surprise. 24 published studies, most assessed in three reviews,3Beyeler N York De La Cruz A Montagu D The impact of clinical social franchising on health services in low- and middle-income countries: a systematic review.PLoS One. 2013; 8: e60669Crossref PubMed Scopus (43) Google Scholar, 4Nijmeijer KJ Fabbricotti IN Huijsman R Is franchising in health care valuable? A systematic review.Health Policy Plan. 2014; 29: 164-176Crossref PubMed Scopus (16) Google Scholar, 5Montagu D Goodman C Prohibit, constrain, encourage, or purchase: how should we engage with the private health-care sector?.Lancet. 2016; 388: 613-621Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar have failed to provide any evidence of a positive impact of social franchises on population health. Most of these studies show that, while franchising increased client volume and satisfaction in some contexts, it did not necessarily improve quality of care, cost-effectiveness, or equity.3Beyeler N York De La Cruz A Montagu D The impact of clinical social franchising on health services in low- and middle-income countries: a systematic review.PLoS One. 2013; 8: e60669Crossref PubMed Scopus (43) Google Scholar, 4Nijmeijer KJ Fabbricotti IN Huijsman R Is franchising in health care valuable? A systematic review.Health Policy Plan. 2014; 29: 164-176Crossref PubMed Scopus (16) Google Scholar, 5Montagu D Goodman C Prohibit, constrain, encourage, or purchase: how should we engage with the private health-care sector?.Lancet. 2016; 388: 613-621Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar However, the quality of most of these studies was rated poor and none were found to meet the inclusion criteria for a Cochrane review, despite these criteria being broad.6Koehlmoos TP Gazi R Hossain SS Zaman K The effect of social franchising on access to and quality of health services in low- and middle-income countries.Cochrane Database Syst Rev. 2009; 1 (CD007136.)Crossref Scopus (24) Google Scholar The only exception was a social franchising and health-care workforce expansion programme in Myanmar that increased the treatment of diarrhoeal illnesses with oral rehydration solution containing zinc.7Aung T Montagu D Su Su Khin H et al.Impact of a social franchising program on uptake of oral rehydration solution plus zinc for childhood diarrhea in myanmar: a community-level randomized controlled trial.J Trop Pediatr. 2014; 60: 189-197Crossref PubMed Scopus (13) Google Scholar Therefore, Tougher and colleagues' study2Tougher S Dutt V Pereira S et al.Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental study.Lancet Glob Health. 2017; (published online Dec 20.)http://dx.doi.org/10.1016/S2214-109X(17)30454-0Summary Full Text Full Text PDF PubMed Scopus (17) Google Scholar is an important contribution. It is one of few rigorous studies that used a quasi-experimental design, had a large study population, and was independent of the funders. More importantly, and perhaps inadvertently, the study has shed light on more fundamental questions: why has social franchising as a model expanded at an exponential rate when there was little rigorous evidence of the model's impact on population health? Why have millions of dollars, often taxpayer money, been poured into an unproven idea? Why is there a paucity of rigorous research in documenting effectiveness of this heavily invested idea? Perhaps the last question might be the easiest to answer. A reading of the published and grey literature suggests that the dearth of evidence might be a consequence of the funders and their expectations. A compendium1Viswanathan R Behl R Seefeld CA Clinical Social Franchising Compendium: an annual survey of programs: findings from 2015. The Global Health Group, Global Health Sciences, University of California, San Francisco, San Francisco, CA2016Google Scholar on social franchises shows that all franchises have been or are funded by bilateral donors or private donors. To the best of my knowledge, no social franchise exists in which a local, for-profit franchisor leads the initiative, as is often the case with commercial franchises. Nor could I identify any social franchises funded by a research funding organisation. The remit of major bilateral donors is to provide services that will directly improve the health of recipient populations. They are not in the business of research. Consequently, most donors limit their data collection activities to before and after surveys under the rubric of evaluation. They tend to be averse to funding data collection from control sites where their programme was not implemented. Additionally, bilateral donors, as custodians of taxpayer money, operate in environments characterised by structural disincentives to acknowledge when programme efforts are not achieving their intended results.8Mumtaz Z Ferguson A Bhatti A Salway S Learning from failure? Political expediency, evidence, and inaction.Soc Sci Med. 2017; (published online May 17.)DOI:10.1016/j.socscimed.2017.05.032Crossref PubMed Scopus (4) Google Scholar Notwithstanding calls for embedded operations research in programmes, most funders' and implementers' desire for rigorous research is limited.9Third Global Symposium on Health Systems ResearchCape Town Statement from the Third Global Symposium on Health Systems Research.http://www.healthsystemsglobal.org/upload/other/Cape-Town-Statement.pdfDate: October 3, 2014Google Scholar Even monitoring and evaluation reports are often aimed at meeting donor or implementer expectations that the programmes are doing well.10Hodgins S Quissell K Meeting report on empty scale-up, with follow-up actions.https://www.healthynewbornnetwork.org/hnn-content/uploads/Empty-Scale-up-Meeting-Report.pdfDate: 10 May 2016Google Scholar Anything less is assumed to reflect poorly on donor judgment and implementer expertise.8Mumtaz Z Ferguson A Bhatti A Salway S Learning from failure? Political expediency, evidence, and inaction.Soc Sci Med. 2017; (published online May 17.)DOI:10.1016/j.socscimed.2017.05.032Crossref PubMed Scopus (4) Google Scholar What are the main messages from these outcomes? First, we need to rigorously check to see if the social franchising model—and various other private-sector quality and equity improvement strategies—are actually producing their intended benefit. Not only does this require embedding research within programmes, it importantly requires research funding agencies to step up and fund what can sometimes be expensive research. Second, donors need to adopt higher standards of evidence when they consider investing in interventions, which requires development of greater in-house expertise, but more importantly, adoption of academic peer-review processes to question the evidence underlying theories of change in interventions presented by applicants. I declare no competing interests. Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental studyThe Matrika social franchise model was not effective in improving the quality and coverage of maternal health services at the population level. Several key reasons identified for the absence of an effect potentially provide generalisable lessons for social franchising programmes elsewhere. Full-Text PDF Open AccessSetting the record straight on social franchisingZubia Mumtaz, in her Comment in The Lancet Global Health (February, 2018),1 questions the effectiveness of social franchising as a method for expanding access to high-quality health care. As a long-time practitioner in the field of social franchising, I have seen how the social franchising model has evolved to become much more effective than the examples reviewed by Mumtaz. Unfortunately, Mumtaz generalises the failings of one narrow application of the model to the whole field of social franchising. Full-Text PDF Open AccessSetting the record straight on social franchising – Author's replyJulie McBride's response, although aimed at providing an alternative perspective, essentially supports my argument that there is insufficient rigorous evidence to justify funding social franchises. There is no doubt that social franchising is an enticing idea. The business model, with its private profit motive, is assumed to be able to deliver high-quality services at scale and achieve sustainable effects on health care. It's a popular idea. More than 90 social franchises exist in 40 low-income and middle-income countries,1 and McBride lists some of them. Full-Text PDF Open Access
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".